Live opening · Posted 11 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
Responsibilities:
Design, build, and maintain ETL/ELT pipelines from enterprise applications, internal services, and third-party APIs.
Design, develop, and operationalize robust and scalable data pipelines from enterprise applications, internal services, and third-party APIs that support business needs.
Lead in designing and building production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery, DBT, SQL, Apache Airflow, Celigo, etc.
Drive AI adoption across the team's engineering workflows; the team has a mandate for AI adoption, and you'll be expected to be a role model, champion, remove friction, and help engineers integrate AI tools into their daily development, code review, documentation, and debugging practices.
Design [EC5] and oversee data models in a medallion architecture.
Mandate high standards for data validation, profiling, reconciliation, and quality initiatives.
Stay updated with industry trends and technologies to continuously improve our data engineering practices.
This reads to me more like an IC; also, ETL/ELT reads as data integrations; it's more data engineering. I think Mark is a better person to describe data integrations.
Experience
10-14 yrs
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